浙江电力2026，Vol.45Issue(4)：38-46,9.DOI:10.19585/j.zjdl.202604004
冻雨天气下电网杆塔点气温数据的质控及重建
Quality control and reconstruction of temperature data at power towers during freez-ing rain conditions
摘要
Abstract
To enhance the application of temperature data from power micro-meteorological monitoring stations(PMS)in grid icing monitoring,this paper uses automatic weather stations(AWS)of meteorological departments as reference stations and adopts the Barnes interpolation method to perform quality control on hourly PMS tempera-ture data during icing periods.The results indicate a relatively high proportion of stations with abnormal data in the PMS.Based on the characteristic of vertical temperature lapse rates observed at high-and low-altitude stations in mountainous areas during icing periods,the Barnes interpolation method is employed to reconstruct temperature data at tower points in these areas.The reconstructed temperatures show good consistency with measured tempera-tures in distribution characteristics and exhibit significant correlation in the duration of low-temperature periods.Taking a freezing rain icing event in late February 2024 as an example,the paper defines an effective icing duration by combining the freezing rain area estimated through analytic hierarchy process(AHP)with the reconstructed tem-peratures at mountainous tower points.Analysis demonstrates that the effective icing duration calculated using this method can accurately reflect the severity of transmission line icing in mountainous areas,providing a reference for icing monitoring.关键词
Barnes插值方法/质量控制/电力微气象监测站/有效覆冰时间/自动气象站/气温垂直直减率Key words
Barnes interpolation method/quality control/PMS/effective icing duration/AWS/vertical tempera-ture lapse rate引用本文复制引用
康丽莉,王振国,陆正奇,邓芳萍..冻雨天气下电网杆塔点气温数据的质控及重建[J].浙江电力,2026,45(4):38-46,9.基金项目
浙江省自然科学基金联合基金(LZJMY25D050002) （LZJMY25D050002）
国网浙江省电力有限公司科技项目(B311DS25Z009) （B311DS25Z009）
